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Daniel Hiltgen a6293eb516
llm: allow iGPU mmproj offload with fit padding (#16996)
* llm: allow iGPU mmproj offload with fit padding

llama.cpp's fit pass sizes text-model placement before the multimodal projector is loaded. Ollama had been avoiding that risk on non-Metal iGPUs by disabling projector offload entirely, which forces CLIP onto CPU on GB10 and Strix Halo even when the projector has ample memory available.

Let integrated GPUs use the same projector-memory check as other GPUs. When projector offload is enabled, add the estimated projector memory plus the existing 1 GiB headroom to Ollama-owned LLAMA_ARG_FIT_TARGET so fit leaves space for the later projector allocation. If Ollama/device setup already supplied a fit target, add the projector pad to it. If the user set LLAMA_ARG_FIT_TARGET explicitly, leave it exactly as provided.

Fixes #16419

* review comments
2026-07-07 15:28:42 -07:00
.github ci: pin darwin release xcode (#16788) 2026-06-17 13:01:10 -07:00
agent agent: harness core (#16963) 2026-07-02 11:44:31 -07:00
anthropic anthropic: Preserve Claude local image-path tool results in renderer-owned prompt formatting (#16047) 2026-05-12 00:02:17 -04:00
api agent: harness core (#16963) 2026-07-02 11:44:31 -07:00
app Kill llama-server during Windows cleanup (#16458) 2026-06-03 10:25:12 -07:00
auth auth: fix problems with the ollama keypairs (#12373) 2025-09-22 23:20:20 -07:00
cmake fix cuda toolkit lookup and parallel (#16613) 2026-06-30 10:56:54 -07:00
cmd launch: disable claude code telemetry by default (#17061) 2026-07-06 15:24:11 -07:00
convert llama: default qwen2.5vl window attention metadata (#16868) 2026-06-24 10:35:29 -07:00
discover discover: fall back to standard CUDA when the JetPack runner is absent (#16949) 2026-07-02 08:34:35 -07:00
docs llama: enable FA on CUDA CC 6.x GPUs (#16994) 2026-07-02 17:11:39 -07:00
envconfig runner: Remove CGO engines, use llama-server exclusively for GGML models (#16031) 2026-05-29 13:35:47 -07:00
format
fs create: harden GGUF create flows (#17062) 2026-07-06 16:20:20 -07:00
harmony runner: Remove CGO engines, use llama-server exclusively for GGML models (#16031) 2026-05-29 13:35:47 -07:00
integration server: align generate with native chat templates (#16878) 2026-06-24 13:43:56 -07:00
internal Reapply "don't require pulling stubs for cloud models" again (#14608) 2026-03-06 14:27:47 -08:00
llama llama: enable FA on CUDA CC 6.x GPUs (#16994) 2026-07-02 17:11:39 -07:00
llm llm: allow iGPU mmproj offload with fit padding (#16996) 2026-07-07 15:28:42 -07:00
logutil runner: Remove CGO engines, use llama-server exclusively for GGML models (#16031) 2026-05-29 13:35:47 -07:00
manifest runner: Remove CGO engines, use llama-server exclusively for GGML models (#16031) 2026-05-29 13:35:47 -07:00
middleware Add support for gemma4 (#15214) 2026-04-02 11:33:33 -07:00
ml llama: enable FA on CUDA CC 6.x GPUs (#16994) 2026-07-02 17:11:39 -07:00
model llama: clean up dead code from llama-server work (#17007) 2026-07-02 12:51:54 -07:00
openai openai: align models list with tags (#16556) 2026-06-05 17:59:05 -07:00
parser runner: Remove CGO engines, use llama-server exclusively for GGML models (#16031) 2026-05-29 13:35:47 -07:00
progress Add z-image image generation prototype (#13659) 2026-01-09 21:09:46 -08:00
readline runner: Remove CGO engines, use llama-server exclusively for GGML models (#16031) 2026-05-29 13:35:47 -07:00
runner runner: Remove CGO engines, use llama-server exclusively for GGML models (#16031) 2026-05-29 13:35:47 -07:00
scripts ci: avoid unbounded parallelism (#16966) 2026-06-30 10:49:55 -07:00
server server: apply format constraint for all thinking parsers when think=false (#15901) 2026-07-07 11:54:50 -07:00
template runner: Remove CGO engines, use llama-server exclusively for GGML models (#16031) 2026-05-29 13:35:47 -07:00
thinking thinking: fix double emit when no opening tag 2025-08-21 21:03:12 -07:00
tokenizer tokenizer: fix multi-regex BPE offset handling (#15844) 2026-04-27 14:14:27 -07:00
tools tools: ignore braces inside JSON strings when detecting tool call end (#16937) 2026-06-27 12:00:55 -07:00
types mlx: Gemma4 MTP speculative decoding (#15980) 2026-05-05 08:55:04 -07:00
version
x mlx: x/create rewrite (#16919) 2026-07-03 18:30:45 -07:00
.dockerignore
.gitattributes .gitattributes: add app/webview to linguist-vendored (#13274) 2025-11-29 23:46:10 -05:00
.gitignore create: Clean up experimental paths, fix create from existing safetensor model (#14679) 2026-04-07 08:12:57 -07:00
.golangci.yaml ci: restore previous linter rules (#13322) 2025-12-03 18:55:02 -08:00
AGENTS.md Add AGENTS.md and CLAUDE.md to root repository (#16604) 2026-06-07 10:57:59 -07:00
CLAUDE.md Add AGENTS.md and CLAUDE.md to root repository (#16604) 2026-06-07 10:57:59 -07:00
CMakeLists.txt runner: Remove CGO engines, use llama-server exclusively for GGML models (#16031) 2026-05-29 13:35:47 -07:00
CMakePresets.json runner: Remove CGO engines, use llama-server exclusively for GGML models (#16031) 2026-05-29 13:35:47 -07:00
CONTRIBUTING.md docs: fix typos in repository documentation (#10683) 2025-11-15 20:22:29 -08:00
Dockerfile llama-server followups (#16353) 2026-06-01 10:44:21 -07:00
go.mod server: remove OLLAMA_EXPERIMENT=client2 (#16962) 2026-07-06 13:15:39 -07:00
go.sum server: remove OLLAMA_EXPERIMENT=client2 (#16962) 2026-07-06 13:15:39 -07:00
LICENSE
LLAMA_CPP_VERSION llama.cpp update (#17055) 2026-07-06 12:52:15 -07:00
main.go
MLX_C_VERSION Update MLX and MLX-C with threading fixes (#15845) 2026-05-03 10:03:14 -07:00
MLX_VERSION mlx: update to de7b4ed9 (#17056) 2026-07-06 13:31:22 -07:00
README.md docs: update docs examples to use Gemma 4 instead of Gemma 3 (#16607) 2026-06-07 12:43:13 -07:00
SECURITY.md docs: fix typos in repository documentation (#10683) 2025-11-15 20:22:29 -08:00

ollama

Ollama

Start building with open models.

Download

macOS

curl -fsSL https://ollama.com/install.sh | sh

or download manually

Windows

irm https://ollama.com/install.ps1 | iex

or download manually

Linux

curl -fsSL https://ollama.com/install.sh | sh

Manual install instructions

Docker

The official Ollama Docker image ollama/ollama is available on Docker Hub.

Libraries

Community

Get started

ollama

You'll be prompted to run a model or connect Ollama to your existing agents or applications such as Claude Code, OpenClaw, OpenCode , Codex, Copilot, and more.

Coding

To launch a specific integration:

ollama launch claude

Supported integrations include Claude Code, Codex, Copilot CLI, Droid, and OpenCode.

AI assistant

Use OpenClaw to turn Ollama into a personal AI assistant across WhatsApp, Telegram, Slack, Discord, and more:

ollama launch openclaw

Chat with a model

Run and chat with Gemma 4:

ollama run gemma4

See ollama.com/library for the full list.

See the quickstart guide for more details.

REST API

Ollama has a REST API for running and managing models.

curl http://localhost:11434/api/chat -d '{
  "model": "gemma4",
  "messages": [{
    "role": "user",
    "content": "Why is the sky blue?"
  }],
  "stream": false
}'

See the API documentation for all endpoints.

Python

pip install ollama
from ollama import chat

response = chat(model='gemma4', messages=[
  {
    'role': 'user',
    'content': 'Why is the sky blue?',
  },
])
print(response.message.content)

JavaScript

npm i ollama
import ollama from "ollama";

const response = await ollama.chat({
  model: "gemma4",
  messages: [{ role: "user", content: "Why is the sky blue?" }],
});
console.log(response.message.content);

Supported backends

  • llama.cpp project founded by Georgi Gerganov.

Documentation

Community Integrations

Want to add your project? Open a pull request.

Chat Interfaces

Web

Desktop

  • Dify.AI - LLM app development platform
  • AnythingLLM - All-in-one AI app for Mac, Windows, and Linux
  • Maid - Cross-platform mobile and desktop client
  • Witsy - AI desktop app for Mac, Windows, and Linux
  • Cherry Studio - Multi-provider desktop client
  • Ollama App - Multi-platform client for desktop and mobile
  • PyGPT - AI desktop assistant for Linux, Windows, and Mac
  • Alpaca - GTK4 client for Linux and macOS
  • SwiftChat - Cross-platform including iOS, Android, and Apple Vision Pro
  • Enchanted - Native macOS and iOS client
  • RWKV-Runner - Multi-model desktop runner
  • Ollama Grid Search - Evaluate and compare models
  • macai - macOS client for Ollama and ChatGPT
  • AI Studio - Multi-provider desktop IDE
  • Reins - Parameter tuning and reasoning model support
  • ConfiChat - Privacy-focused with optional encryption
  • LLocal.in - Electron desktop client
  • MindMac - AI chat client for Mac
  • Msty - Multi-model desktop client
  • BoltAI for Mac - AI chat client for Mac
  • IntelliBar - AI-powered assistant for macOS
  • Kerlig AI - AI writing assistant for macOS
  • Hillnote - Markdown-first AI workspace
  • Perfect Memory AI - Productivity AI personalized by screen and meeting history

Mobile

SwiftChat, Enchanted, Maid, Ollama App, Reins, and ConfiChat listed above also support mobile platforms.

Code Editors & Development

Libraries & SDKs

Frameworks & Agents

RAG & Knowledge Bases

  • RAGFlow - RAG engine based on deep document understanding
  • R2R - Open-source RAG engine
  • MaxKB - Ready-to-use RAG chatbot
  • Minima - On-premises or fully local RAG
  • Chipper - AI interface with Haystack RAG
  • ARGO - RAG and deep research on Mac/Windows/Linux
  • Archyve - RAG-enabling document library
  • Casibase - AI knowledge base with RAG and SSO
  • BrainSoup - Native client with RAG and multi-agent automation

Bots & Messaging

Terminal & CLI

Productivity & Apps

Observability & Monitoring

  • Opik - Debug, evaluate, and monitor LLM applications
  • OpenLIT - OpenTelemetry-native monitoring for Ollama and GPUs
  • Lunary - LLM observability with analytics and PII masking
  • Langfuse - Open source LLM observability
  • HoneyHive - AI observability and evaluation for agents
  • MLflow Tracing - Open source LLM observability

Database & Embeddings

Infrastructure & Deployment

Cloud

Package Managers